Top Tweets for #Starrocks
Slow query? Failed import? Overloaded node? Rising compaction score?
🧰 Meet StarRocks Debug Skills: open-source, AI-ready troubleshooting workflows that help you find root causes faster—with less guesswork.
See how it works: https://t.co/KT0GtxDMGX
#StarRocks #AgenticAI
Lakehouse時代は、“フォーマット選定” より “カタログ戦略” が重要。
データ基盤の未来は「オープン性 + 相互運用性 + ガバナンス」の設計勝負になってきたと感じる。
非常に共感。
#ApacheIceberg #Databricks #DataLakehouse #DataEngineering #OpenTableFormat #DataPlatform #Snowflake #StarRocks
Today, I dig into the details of #StarRocks and how it is gaining traction in the real-time database world, with DWH-like joins and fast retrieval from a Lakehouse-native data architecture, without additional data engineering work to persist and ingest data.
I look at how data can be colocated to avoid network shuffling or broadcast overhead, enabling sub-second responses for dashboards and real-time analytics.
I interviewed two heavy users of StarRocks to get real-world feedback on the pros and potential cons (thank you, Eric Sun and Anton Borisov). We analyze how Coinbase, Pinterest, Fresha, and others use StarRocks in production, and why they chose it over other open-source OLAP solutions.
Things that stood out to me were:
Joins are the differentiator → Every person I spoke with chose StarRocks because joins actually work at speed without heavy pre-denormalization in Flink or Spark. Coinbase ran TPC-H 1TB benchmarks, in which ClickHouse failed 12 of 22 queries.
Colocated joins are surprisingly simple in concept → Tables that need to join share the same bucket key, bucket count, and replica placement. Rows with the same `customer_id` always land on the same node. The join becomes local, no network shuffle.
Pinterest cut p90 query latency by 50% while using only 32% of their previous Druid infrastructure. → That's roughly a 3x improvement in cost-performance.
Cold S3 data still returns in 3-5 seconds → when Iceberg metadata is well-sorted and prepared with e.g., Apache Puffins.
You still need good data modeling. → StarRocks doesn't eliminate architecture thinking. Colocated joins require upfront planning across tables. Partition key choices matter.
#Tradeoffs:
The smaller community compared to ClickHouse is one tradeoff you make. Eric mentioned that most engineers in the Bay Area haven't heard of StarRocks, which affects adoption and hiring.
There's much more in the article, full interview questions, a guideline on when to use StarRocks vs. ClickHouse based on use case, how the multi-tier caching might replace traditional ETL ingestion, and how real-time updates work without merge-on-read overhead.
The full article is at https://t.co/BdI0OLhJne.
NYC was 🔥 —Chicago, you’re up tonight! 🎤 RSVP: https://t.co/73UMcC8gmP
Chelsea Wang will be back on stage with a practical playbook for low-latency, high-concurrency analytics on #ApacheIceberg—bottlenecks, optimizations, and how #StarRocks makes it production-ready at scale.
At the first Real-Time #DataLakes meetup, Sida Shen (@CelerData PM) broke down:
✅ #ApacheIceberg performance bottlenecks
✅ Running #StarRocks on Iceberg at scale
✅ Parallel query processing of positional deletes using distributed anti-joins 🤯
Watch: https://t.co/1hJJMsAWVq
🌟Real-Time Analytics That Keeps Users Hooked!
Don’t let slow queries or complex pipelines drive customers away. Join Sida Shen (Product Manager, @CelerData) to discover how #ApachePulsar + #StarRocks deliver lightning-fast, customer-facing analytics.
⏰ Wed, May 28 | 8:00-8:30 AM PST
📍 Zoom | Use Cases
Key insights:
✅ Sub-second queries & real-time data upserts (learn from #Naver’s success!).
✅ How Pinterest & Demandbase slashed latency & costs.
✅ Why open-format lakehouses are the future for unified, real-time insights.
🌐 Full Schedule: https://t.co/W1X5zH6n6l
👉 Register now: https://t.co/dxGndq8rqC
#RealTimeAnalytics #ApachePulsar #StarRocks #DataEngineering
@ClickHouseDB or @StarRocksLabs? @trinodb, @prestodb, or @ApacheSpark?
💡We did the homework so you don’t have to. Full comparison of 5 top open analytics engines:
👉 https://t.co/yIibkTRbqL
#DataEngineering #OLAP #BigData #spark #trino #presto #starrocks #clickhouse
🚀 Need real-time, sub-second query performance on #DeltaLake? Enter Delta Kernel + @StarRocksLabs!
✅ Faster queries & scalability
✅ Real-time analytics on Delta Lake
✅ Lower operational overhead
🔗 Learn more: https://t.co/nRRlZNQSRn
#opensource #oss #starrocks
It's a great pleasure to collaborate with Databricks to build an #lakehouse ecosystem together! #StarRocks
What is the difference between #StarRocks #Trino #TApacheDruid #ClickHouse ?
Read the Q&A with Andy Ye.
https://t.co/TOxp7ZypHB
#opensource
For those with a "need for speed", @SidaShen from the #StarRocks project is hosting a call on March 28. He'll share how #apacheiceberg users can now boost query performance and minimize engineering effort by integrating with StarRocks.
Sign up here:
https://t.co/S625vuNDFk
#ApacheDoris is a benchmarking machine 💪 I saw the Doris vs #Trino benchmark this week so I was curious and I found many more... If you want some 🍿 on a Fri afternoon, I linked the ones I found in 🧵below
#apachespark #elasticsearch #clickhouse #duckdb #apachepinot #starrocks
📢 Tune in tomorrow for StarRocks Connect!
Albert Wong of @CelerData will host our @ProductPasha who will walk you through RisingWave's key features and unique architecture.
✨ Rayees will also discuss RisingWave integration with #StarRocks.
🔗 Sign up: https://t.co/hjtL0Fun3d
Set your alarm clocks 🕰️
Remember to join us tomorrow with the @StarRocksLabs community on unlocking user behavior with 87 Million events using #apachehudi, #StarRocks & @Minio!
https://t.co/4cCSX0nV72
We're teaming up 🙌 with @StarRocksLabs to do a live event on how to deploy a modern data #lakehouse with #ApacheHudi & @Minio, & run analytics, including JOINs, to analyze purchasing patterns and product conversion rates with #StarRocks- Register 🔽
https://t.co/QTn4FCkMWK
🌟 Choosing between #StarRocks and #Trino? Let this comparison guide you on which use cases or scenarios StarRocks excels in. Dive into the details now!
https://t.co/aQAVxdKtcS
Tabular Solutions is back with Albert Wong of @CelerData, a managed solution for #StarRocks. CelerData has been doing great work to integrate with Tabular-managed #ApacheIceberg tables for full support.
#iceberg #datalake #datalakehouse #dataengineering
https://t.co/TVyg51n0eg
Check out the @apachehudi community sync. They show you how to do lightning-fast queries at petabyte scale using #StarRocks from @CelerData!
https://t.co/GdJl9ujqdK
New from @venturebeat: The StarRocks online analytical processing (OLAP) database is getting a new home today, at the Linux Foundation.
Welcome @StarRocksLabs!
https://t.co/7TKsSiZENC #opensource #linux #starrocks
The #StarRocks online analytical processing (#OLAP) database is getting a new home today, at the @LinuxFoundation. See what this will mean for the platform's open-source efforts: https://t.co/anbytpqvAO
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